Find Services Technology About My Accounts Colorado State University LibrariesResearch GuidesCoding and CookiesData Visualization using ggplot2 Coding and Cookies Automating data cleaning and analysis using R and Python. HomePythonToggle DropdownIntroduction to Python Working with Data using Pandas Data Visualization using Plotnine and Matplotlib Sharable Jupyter Notebooks with Git RR Basics Tidy Data in R Data Visualization using ggplot2 Version control using git Reproducible reports using R Markdown Data Visualization recorded workshop Data Visualization using ggplot2 Workshop Video Slides from recording Recorded workshop materials Download slidesR project and files An R project directory containing the dataset, the script and a folder structure for this lesson R scriptDataset The dataset used for this lesson. It is a cleaned version of the Data Carpentry ecology dataset. Slides for live workshop Live workshop materials Download slidesR script Additional Resources Data Carpentry LessonData Visualization Cheat SheetWorkshop video (2018 version) Class content presented in video format (available for download) Changing ggplot colors How to change colors of geoms both automatically and manually How to expand color palettes in ggplots R-bloggers tutorial How to edit figure legends R cookbook tutorial Plotting means and error bars R cookbook tutorial << Previous: Tidy Data in RNext: Version control using git >> URL: https://libguides.colostate.edu/coding-cookies | Print Page
